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07/11/2023
Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering
One of the main issues of the current tractography methods is their high...
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05/23/2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation
Privacy protection in medical data is a legitimate obstacle for centrali...
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05/15/2023
What Matters in Reinforcement Learning for Tractography
Recently, deep reinforcement learning (RL) has been proposed to learn th...
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05/03/2023
Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?
Deep learning-based methods have spearheaded the automatic analysis of e...
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11/30/2022
FIESTA: FIber gEneration and bundle Segmentation in Tractography using Autoencoders
White matter bundle segmentation is a cornerstone of modern tractography...
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11/23/2022
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
Multiparametric magnetic resonance imaging (mp-MRI) has shown excellent ...
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06/15/2022
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation
Accurate uncertainty estimation is a critical need for the medical imagi...
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04/22/2022
Generative sampling in tractography using autoencoders (GESTA)
Current tractography methods use the local orientation information to pr...
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12/03/2021
Echocardiography Segmentation with Enforced Temporal Consistency
Convolutional neural networks (CNN) have demonstrated their ability to s...
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08/09/2021
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging
The physical and clinical constraints surrounding diffusion-weighted ima...
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07/23/2021
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
Deep learning methods are the de-facto solutions to a multitude of medic...
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05/11/2021
GANs for Medical Image Synthesis: An Empirical Study
Generative Adversarial Networks (GANs) have become increasingly powerful...
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12/02/2020
Neural Teleportation
In this paper, we explore a process called neural teleportation, a mathe...
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11/25/2020
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy
We propose a client-server system which allows for the analysis of multi...
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10/07/2020
Tractography filtering using autoencoders
Current brain white matter fiber tracking techniques show a number of pr...
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07/23/2020
The Representation Theory of Neural Networks
In this work, we show that neural networks can be represented via the ma...
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06/15/2020
Cardiac Segmentation with Strong Anatomical Guarantees
Convolutional neural networks (CNN) have had unprecedented success in me...
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05/18/2020
On the effectiveness of GAN generated cardiac MRIs for segmentation
In this work, we propose a Variational Autoencoder (VAE) - Generative Ad...
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04/04/2020
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography
Segmentation of cardiac structures is one of the fundamental steps to es...
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09/09/2019
Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation
This paper presents a privacy-preserving network oriented towards medica...
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07/05/2019
Cardiac MRI Segmentation with Strong Anatomical Guarantees
Recent publications have shown that the segmentation accuracy of modern-...
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05/17/2019
Spectral Metric for Dataset Complexity Assessment
In this paper, we propose a new measure to gauge the complexity of image...
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02/14/2019
Tractography and machine learning: Current state and open challenges
Supervised machine learning (ML) algorithms have recently been proposed ...
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11/23/2018
Structured Pruning of Neural Networks with Budget-Aware Regularization
Pruning methods have shown to be effective at reducing the size of deep ...
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05/24/2017
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation
In this paper, we propose a fully automatic MRI cardiac segmentation met...
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07/18/2016
Deep learning trends for focal brain pathology segmentation in MRI
Segmentation of focal (localized) brain pathologies such as brain tumors...
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10/05/2015
Within-Brain Classification for Brain Tumor Segmentation
Purpose: In this paper, we investigate a framework for interactive brain...
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05/13/2015
Brain Tumor Segmentation with Deep Neural Networks
In this paper, we present a fully automatic brain tumor segmentation met...
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05/01/2014
